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Digital Addiction Ontology for Social Networking Systems

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Social Informatics (SocInfo 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8852))

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Abstract

Digital Addiction (hereafter referred to as DA) is an emerging, perhaps controversial, issue that is expected to profoundly impact modern societies. Different types of addiction, such as drugs, gambling and alcohol, have clear standards, regulations and policies on how to manufacture, market and sell them. In great contrast, DA has received little recognition or guidance in Human-Computer Interaction (HCI) and social media research communities. These communities are required to support software industry to provide ways to develop products that are more aware of DA. This research focuses on conceptualising DA to advance the understanding of how the design of social networking systems might influence human behaviour in a way that facilitates addiction. This paper presents an initial ontology and logical models for DA, and discusses potential HCI related implications.

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Author information

Authors and Affiliations

  1. Bournemouth University, Poole, UK

    Amen Alrobai & Huseyin Dogan

Authors
  1. Amen Alrobai
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  2. Huseyin Dogan
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Corresponding author

Correspondence to Amen Alrobai .

Editor information

Editors and Affiliations

  1. Yahoo Inc., Barcelona, Spain

    Luca Maria Aiello

  2. Stanford Graduate School of Education, Stanford, California, USA

    Daniel McFarland

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© 2015 Springer International Publishing Switzerland

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Alrobai, A., Dogan, H. (2015). Digital Addiction Ontology for Social Networking Systems. In: Aiello, L., McFarland, D. (eds) Social Informatics. SocInfo 2014. Lecture Notes in Computer Science(), vol 8852. Springer, Cham. https://doi.org/10.1007/978-3-319-15168-7_21

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  • DOI: https://doi.org/10.1007/978-3-319-15168-7_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15167-0

  • Online ISBN: 978-3-319-15168-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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